Business Management System

Big data in information technology is a collection of very large, complicated data sets. With these datasets, it becomes difficult to process using traditional data processing applications.

Executive leadership benefits when it has a business management system that orchestrates predictive scorecards, analytically/innovatively determine strategies, and identification/execution of process improvement projects that benefit the enterprise as a whole. Current business practices have shortcomings relative to the integration of these methodologies. This article elaborate on various enhancement opportunities.

Creation of long-lasting business metrics will first be described and then the 30,000-foot-level scorecard tracking of these measurements will be discussed. It will be shown how, when a process is concluded to have a recent region of stability, a prediction statement can be made.

Lean has a very good tool set; however, it is not a business management system. To better address the challenges of the day, organizations need an effective business management system that integrates Lean tools with predictive scorecards and analytical/innovative strategies so that undertaken process improvement efforts have whole-enterprise benefits.

Linkage of processes with the predictive performance measurements for these processes is accomplished through an Integrated Enterprise Excellence (IEE)1 value chain. With this system, when a performance metric or key performance indicator (KPI) is not achieving its desired objective, the processes associated with that metric in the value chain need improvement.